Supply chain management (SCM) software is the system that plans demand, positions inventory and tracks goods from supplier to customer, then settles the money and paperwork behind each movement. The features required for supply chain management software are the ones that keep those steps connected. They include clean master data, AI-driven demand planning, a real-time control tower, execution tools for warehouses and transport, and integrations with tax, partner and government systems.
The checklist below is for founders, operations heads and CTOs who are comparing platforms or scoping a build. It explains what each feature does, what breaks when it is missing, and which features can wait for a second release. Indian requirements are covered where they apply.
Key takeaways
- Supply chain software is only as good as its event data. Agree identifiers, timestamps and an event model before you buy forecasting or dashboards.
- AI-driven demand planning needs history. Some cloud forecasting models need two to four times the forecast horizon in past data before they will run.
- A real-time supply chain control tower earns its cost by catching exceptions and routing each one to a named owner.
- Indian deployments need e-way bill data for consignments above ₹50,000, six-hour incident reporting to CERT-In and 180-day log retention.
- Buy standard planning and execution. Build or extend only where your data, integrations or workflow set you apart.
What are the features required for supply chain management software?
The features required for supply chain management software fall into five groups: a shared data foundation, demand and supply planning, real-time visibility, execution across warehouses and transport, and integration with finance, tax and partner systems. A platform that is weak in any one group pushes that work back onto spreadsheets, email and phone calls.
Each group feeds the next, so it helps to see them as a loop rather than a menu:
- Plan: forecast demand, then turn the forecast into purchase, production and transfer plans.
- Source: issue purchase orders and track supplier commitments against them.
- Store: receive, put away, count and pick stock in warehouses.
- Move: book carriers, generate transport documents and track shipments.
- Settle: reconcile invoices, freight bills, returns and claims.
Ask every vendor to demonstrate one order travelling all five steps, including a late supplier and a partial delivery. Exceptions are where weak systems show themselves. A demo built on a clean happy path proves very little.
Why does the data foundation decide whether every other feature works?
A supply chain platform works only when every connected system agrees on what an item, a location and an event are. Before you compare forecasting engines or dashboards, check how the software stores master data, how it records each movement as a timestamped event, and how it handles records that arrive late or out of order.
Three data features matter more than any screen:
- Master data management. One record per product, unit of measure, supplier and location, with a named owner for each. Duplicate item codes quietly ruin forecasts and stock counts.
- An event model. Every scan, dispatch and receipt should be stored as an event that says what, when, where and why. GS1, the global barcode standards body, publishes the EPCIS standard for this job. Version 2.0 was ratified in June 2022 with new JSON and REST bindings (PDF), so modern APIs can exchange events without custom XML work.
- Trustworthy timestamps. Events from a warehouse scanner, a carrier API and an enterprise resource planning (ERP) system must sort into the right order.
The last point is easy to miss. In India, the Indian Computer Emergency Response Team (CERT-In) directions of 28 April 2022 cover this. They require service providers and body corporates to connect their information and communication technology (ICT) system clocks to time servers run by the National Informatics Centre (NIC) or the National Physical Laboratory (NPL). A control tower that sorts events by unsynchronised device clocks will show shipments arriving before they leave.
What can AI-driven demand planning do, and what does it need?
AI-driven demand planning uses machine learning models to forecast what customers will order, then feeds that forecast into replenishment and production plans. It works best when the software can select a model per product, explain why a forecast moved, and let a planner override it with a reason.
The upside is real. McKinsey & Company reported in February 2022 that applying AI-driven forecasting to supply chain management can reduce errors by between 20 and 50 percent, with lost sales and product unavailability falling by up to 65 percent. That figure is more than three years old, so treat it as what good projects have achieved rather than a promise for yours.
The catch is history. Amazon Web Services (AWS) documentation for its supply chain demand planning models, checked in October 2026, lists a minimum demand history of two to four times the forecast horizon, depending on the model.
Illustrative example. Assumptions: you want a six-month forecast, you plan to use a model that needs four times the horizon, and every month of history must be clean.
- Required history: 6 months × 4 = 24 months of clean demand data per item and location.
- If your ERP holds 18 months, or the first year includes a warehouse migration, that model cannot run yet. A simpler model that needs two times the horizon (12 months) can.
History arithmetic is the first question we ask when Raqbash Technologies, an Ahmedabad-based development agency, scopes a planning module. It decides which models are realistic before anyone argues about accuracy.
What to insist on in the planning feature:
- Per-item model selection. Microsoft's Dynamics 365 Supply Chain Management documentation, last updated 22 April 2026, lists auto-ARIMA, ETS, Prophet and XGBoost plus a best fit model that picks an algorithm for each product and dimension combination. Any serious tool should offer the equivalent.
- Demand recorded separately from sales. Sales history hides stockouts, so the software should record unfulfilled orders. Nicolas Vandeput explains why in his piece on capturing unconstrained demand in supply chains.
- Planner overrides with reasons, so the team can measure whether human edits improve accuracy.
- Model governance. The NIST AI Risk Management Framework (AI RMF 1.0), released by NIST on 26 January 2023, is a useful checklist for logging, testing and explaining model decisions.
For a non-technical guide to realistic expectations and common pitfalls, read Vandeput's article on machine learning-driven demand forecasting before your first vendor demo.
What should a real-time supply chain control tower show?
A real-time supply chain control tower is a shared view that combines order, inventory and shipment events from many systems, compares them with the plan, and flags exceptions early enough for someone to act. Its value comes from the exceptions it catches and routes to the right person.
Most control tower projects stall on three practical questions: how fresh is the data, who owns each exception, and what happens after an alert fires. A tower that refreshes from a nightly batch is a report. A tower that raises 400 alerts a day with no owner is noise.
Insist on these features:
- Event intake from every source: carrier APIs, GPS devices, warehouse scans, supplier portals and, in India, government data.
- Predicted arrival times that update when an upstream event slips.
- Exception rules with owners, for example "inbound container more than 24 hours late at port, assign to the import desk".
- Playbooks that suggest an action, such as expediting, reallocating stock or telling the customer.
- Data age shown on screen, so users know whether they are looking at five-minute-old or five-hour-old information.
Illustrative example. Assumptions: 2,000 shipments a day, eight status events per shipment, 30 days a month, and 2% of shipments raising an exception.
- Events: 2,000 × 8 = 16,000 a day, or 480,000 a month.
- Exceptions: 2% of 2,000 = 40 cases to close every day.
Size the alert rules and the team together, or users will start ignoring the tower by the second month.
India adds a useful data source. The Unified Logistics Interface Platform (ULIP), the government's API gateway for logistics data, connected 46 government systems across 12 central ministries through 142 APIs, according to a Press Information Bureau (PIB) release dated 8 July 2026. A control tower with a clean integration layer can add ULIP feeds later as a small job.
Companies that sell visibility platforms face a second problem: explaining them to a buying committee drawn from operations, procurement and IT. That explanation usually lives on the vendor's website, and websites for supply chain technology firms are normally scoped as a separate project from the platform itself.
Inventory, warehouse and transport execution: the features that move stock
Planning and visibility only pay off when execution systems carry out the plan. Execution features cover the warehouse, the transport network and the order itself, and they are where most daily users spend their working day.
- Inventory management: stock by location, lot and expiry date; cycle counts; reservations; safety stock settings that planners can see.
- Warehouse management system (WMS): receiving against purchase orders, directed put-away, pick paths, barcode or RFID scanning, and offline scanning for areas with poor signal.
- Transport management system (TMS): carrier selection, load building, freight rate cards, proof of delivery and freight bill audit.
- Order management: order capture from every channel, allocation rules, partial shipments and returns.
Freight forwarders, third-party logistics (3PL) providers and transporters often need customer-facing pieces on top of these modules, such as tracking pages, quote forms and document downloads. Examples of logistics portals with TMS integration show where that customer layer sits in relation to the operational systems.
Which Indian integrations does supply chain software need?
Indian supply chain software must exchange data with tax and government systems as well as with enterprise resource planning (ERP) systems. Missing integrations create manual data entry exactly where errors cost money: goods held during a roadside check, or an invoice that does not match a movement.
E-way bills. Under the Goods and Services Tax (GST), an e-way bill is an electronic document that covers the movement of goods. The Central Board of Indirect Taxes and Customs (CBIC) explains that one is needed for goods of consignment value more than ₹50,000 (PDF), with Part A holding invoice details and Part B holding vehicle details. Your software should capture invoice value at order entry, flag consignments above the threshold, and push Part B updates when a load moves to another vehicle.
ULIP and partner APIs. Government logistics data is now reachable through APIs rather than portals alone. When the Unified Logistics Interface Platform (ULIP) passed 100 crore (1 billion) API transactions in March 2025, Union Commerce and Industry Minister Piyush Goyal said "ULIP's success wouldn't have been possible without the collaborative efforts of our users, logistics stakeholders and govt. departments who are leveraging API integrations to create impactful solutions." The practical lesson for buyers is about architecture: choose software that treats each external system as a replaceable connector.
Why it matters for cost. A Department for Promotion of Industry and Internal Trade (DPIIT) study with the National Council of Applied Economic Research (NCAER) is summarised in a Press Information Bureau (PIB) brief (PDF). The brief put India's logistics cost at 7.97% of GDP for 2023-24. The same brief notes that smaller firms face significantly higher logistics costs, which is where manual handovers hurt most.
Security, supplier risk and data protection features
Supply chain software holds supplier contracts, prices, customer addresses and shipment routes, so security features belong in the first release. Two kinds of risk need features: attacks that arrive through suppliers and partners, and obligations under Indian law.
Supplier and software risk. NIST Special Publication 800-161 Revision 1, published in May 2022 and updated on 1 November 2024, sets out cybersecurity supply chain risk management (C-SCRM) practices. In software terms that means a supplier register with risk ratings, role-based access for partner users, and audit trails on every change to supplier, price and payment records.
CERT-In incident rules. The Indian Computer Emergency Response Team (CERT-In) directions of 28 April 2022 require covered entities to report listed cyber incidents within 6 hours (PDF) of noticing them. The same directions require information and communication technology (ICT) logs to be kept for a rolling 180 days within Indian jurisdiction. Your platform should keep exportable logs for at least that period.
DPDP Act and Rules. The Digital Personal Data Protection Act, 2023 (DPDP Act) covers personal data such as consignee names, phone numbers and addresses. A Press Information Bureau (PIB) explainer (PDF) says the DPDP Rules 2025 were notified on 14 November 2025 with an eighteen-month period for phased compliance. The highest penalty, up to ₹250 crore (₹2,500,000,000), applies to a failure to maintain reasonable security safeguards. Ask for retention rules, masked consignee data for partner users, and a breach workflow that can notify affected people without delay.
Must-have features vs later-phase features
The must-have features are the ones without which an order cannot be planned, moved, tracked and settled with an audit trail. Everything else can follow in a second release.
Must-have at launch
- Single master data for items, locations and suppliers
- Timestamped event log with synchronised clocks
- Statistical demand forecasting with planner overrides
- Inventory, warehouse and transport execution for your current flows
- Exception alerts with named owners
- E-way bill data capture and flagging (India)
- Role-based access and logs kept for 180 days
Add in the next phase
- AI-driven demand planning with per-item model selection
- Control tower with predicted arrival times and playbooks
- Supplier portal and supplier risk ratings
- ULIP and partner API connectors
Nice to have
- Scenario planning for network design
- Sustainability and emissions reporting
- Natural-language questions over planning data
Treat this order as a starting point. A business whose main pain is late inbound containers might move the control tower into the launch list.
How do you read a quote for supply chain software?
Buy a platform when your planning and execution flows are standard. Build or extend when your data, integrations or customer experience are the reason customers choose you. Either way, compare quotes on scope, data work and second-year cost rather than on feature lists.
Pricing is often harder to compare than features. When checked on 15 October 2026, the AWS Supply Chain pricing address redirected to Amazon Connect Decisions, which prices by AI teammate rather than per user and asks buyers to contact sales. When list prices are not public, ask each vendor to state the pricing unit in writing.
Ask every vendor, in writing:
- How many integrations are included, and what each extra connector costs
- How much data cleaning and migration is in scope, and who does it
- Which forecasting models will run on your current history
- Who owns the data, configuration and any custom code after launch
- What second-year licences, hosting and support will cost
Customer-facing pieces, such as tracking pages and quote forms, are usually priced separately from the platform. For a sense of how that web layer is costed by scope, see this India-focused guide to website pricing by type of site.
Figures in this article are indicative and depend on scope. This is general guidance, not legal, tax or security advice.
FAQ
What are the features required for supply chain management software?
The core features are master data management, demand and supply planning, a real-time control tower, inventory, warehouse and transport execution, and integrations with finance, tax and partner systems. Security controls, audit logs and data protection features belong in the first release rather than a later one.
How much history does AI-driven demand planning need?
It depends on the model. AWS documentation lists a minimum history of two to four times the forecast horizon for its demand planning models, so a six-month forecast can need 12 to 24 months of clean demand data for each item and location.
What is a real-time supply chain control tower?
A real-time supply chain control tower combines order, inventory and shipment events from many systems into one view, compares them with the plan, and assigns exceptions to named owners. It is useful only when its data is fresh and every alert has someone responsible for closing it.
Does supply chain software in India need e-way bill support?
Yes, for most goods movements. CBIC guidance requires an e-way bill for consignments valued above ₹50,000, so the software should capture invoice value, flag consignments over the threshold and update vehicle details when a load changes vehicle.
Raqbash Technologies, an Ahmedabad-based services agency whose in-house team designs, builds and supports web platforms, mobile apps and custom software. The team works with logistics and supply chain businesses on tracking portals, planning dashboards and integration layers, from scoping and integration through to launch and ongoing support.